Job Description

Our Mission Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life. Diversity at Altos We believe that diverse perspectives are foundational to scientific innovation and inquiry. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment. What You Will Contribute To Altos We have an opportunity available for a Data Scientist to work in the field of cells, genomics and related areas. Responsibilities Generate insights and models from multi-omics datasets (using public and internal data) to understand patterns, trends and relationships within data to inform decision-making and solve problems. Design, develops and programs methods, processes, and systems to extract, consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights. Build databases and is responsible for the curation of Data, including experimental data management. Extracting knowledge, insights and predictions from data using statistical methods, machine learning and data visualization. Work with scientists to identify optimal ways to prepare, annotate, store and navigate their datasets, including data application design and improvement. Define and document best practices for capturing and entering experimental metadata, and educate scientists and collaborators about these standards. Build pipelines for quality control, processing and analysis of raw targeted and un-targeted datasets. Develops and codes software programs and leverages algorithms and methodologies being developed by the scientific community for use cases of relevance to Altos Labs. Stay current with and adopt emergent analytical methodologies, tools and applications to ensure fit-for-purpose and impactful approaches. Partner closely with the Lab scientists and researchers to identify opportunities for data and insight mining to accelerate research. Embed analyses and visualizations in automated reports. Who You Are Minimum Qualifications PhD in interdisciplinary quantitative science such as Biology, Chemistry, Computer Science, Physics, etc. 1 - 5 years (Scientist I/II) or 5+ years (Senior Scientist) years of relevant work experience in either an academic or industry setting. Working knowledge of cell biology and experience in large scale data analysis and statistical modeling on datasets like RNA-seq, ATAC-seq, protein network, pathways, etc. Proven track record of completed scientific projects as evidenced by publications and preprints. Strong breadth and expertise in Statistical analysis, machine learning, data visualization, programming (Python, R, etc.), data cleaning and data manipulation. Tools: Python, R, SQL, TensorFlow, Scikit-learn, Tableau, Power BI. Ability to generate high quality ideas and be self-driven to explore. Strong experience in programming and comfortable modifying existing code-base. Experience with Python, R data cleaning and data manipulation or other related scientific languages. Willing to work in a collaborative environment and share periodic updates across the company. Preferred Qualifications Strong and demonstrable experience working in an AWS compute environment is a major advantage. Experience integrating prior knowledge from public databases (e.g., KEGG) into omics data analysis pipelines. The salary range for San Francisco Bay Area, CA : Scientist I, Data Science : $ 165,750 - $224,250 Scientist II, Data Science : $ 195,000 - $263,350 Senior Scientist I, Data Science: $ 229,000 - $313,950 The salary range for San Diego, CA : Scientist I, Data Science : $ 150,450 - $203,550 Scientist II, Data Science : $ 177,000 - $243,800 Senior Scientist I, Data Science: $ 212,000 - $292,100 Exact compensation may vary based on skills, experience, and location.

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What We Want You To Know We are a culture of collaboration and scientific excellence, and we believe in the values of inclusion and belonging to inspire innovation. Altos Labs provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Altos currently requires all employees to be fully vaccinated against COVID-19, subject to legally required exemptions (e.g., due to a medical condition or sincerely-held religious belief). Thank you for your interest in Altos Labs where we strive for a culture of scientific excellence, learning, and belonging. Note: Altos Labs will not ask you to download a messaging app for an interview or outlay your own money to get started as an employee. If this sounds like your interaction with people claiming to be with Altos, it is not legitimate and has nothing to do with Altos. Learn more about a common job scam at Apply for this job * indicates a required field First Name * Last Name * Email * Phone * Resume/CV * Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Employment Title * Select... Start date year * End date month * Select... End date year * Current role Education School * Select... Degree * Select... Select... Select... Start date year * End date month * Select... End date year * Permanent Physical Address * If you prefer to be addressed by a nickname that is different from the legal name you entered above, please list here * LinkedIn Profile * Website Are you legally authorized to work in the job location on a full-time basis? * Select... Will you now or in the future require sponsorship for employment visa status? * Select... Are you any of the following: (a) a U.S. citizen, (b) a lawful permanent resident of the United States (i.e., a green card holder), or (c) a protected individual as defined by 8 U.S.C. 1324b(a)(3) (e.g., granted asylum or a refugee), or d) none of the above. * Select... If the answer to the previous question is ‘no’, is your most recent country of citizenship any of the following: Cuba, Iran, North Korea, or Syria? * Select... If needed for the position, are you willing to relocate? * Select... How did you hear about this position? * Select... Do you know anyone who works or is applying to work for Altos? * Select... If you said yes to the previous question, please list anyone you know who works or is applying to work for Altos. * Before submitting your application, please read the Altos Labs EU and UK Applicant Privacy Notice provided in the job posting. This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment. * Select... I have reviewed the information I provided on my resume and in my job application, and I am confirming that all of the information listed is accurate. * Select... US Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary . Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file. As set forth in Altos Labs's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. #J-18808-Ljbffr Altos

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